DocumentCode
1365612
Title
A comment on “Comments on `Necessary and sufficient condition for absolute stability of neural networks´”
Author
Arik, Sabri ; Tavsanoglu, Vedat
Author_Institution
Dept. of Electron., Istanbul Univ., Turkey
Volume
45
Issue
5
fYear
1998
fDate
5/1/1998 12:00:00 AM
Firstpage
595
Lastpage
596
Abstract
This letter points out that a new majorization of the derivative of the Lyapunov function used in the above letter [see ibid., vol.42, p.497-9, 1995] gives a new, weaker condition on the interconnection matrix that is sufficient for the global asymptotic stability (GAS) of the equilibrium point for dynamical neural networks. The result also includes some earlier results derived in the literature
Keywords
absolute stability; asymptotic stability; neural nets; Lyapunov function; absolute stability; equilibrium point; global asymptotic stability; interconnection matrix; majorization; neural networks; Asymptotic stability; Circuits; Eigenvalues and eigenfunctions; Lyapunov method; Neural networks; Sufficient conditions; Symmetric matrices;
fLanguage
English
Journal_Title
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
Publisher
ieee
ISSN
1057-7122
Type
jour
DOI
10.1109/81.668877
Filename
668877
Link To Document